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SW Optimization Engineer AI/ML

Apple· Hardware
Apply on company site
Hybrid (Cupertino, CA), Hybrid (Seattle, WA)$184.7k - $324.8kFull-timePosted 2w ago

About the role

Role focused on analyzing workloads to identify performance bottlenecks in hardware and software, optimizing AI/ML workloads on Apple Silicon (Neural Engine, GPU, CPU), and collaborating to inform architecture decisions and performance improvements across silicon and software teams.

Responsibilities

  • Conduct performance studies to inform and validate architecture decisions.
  • Create optimized implementations of machine learning workloads on Apple Silicon, including Neural Engine, GPU, and CPU.
  • Collaborate with system teams to create performance models of emerging AI/ML techniques and analyze system architecture trade-offs.
  • Work with software development tools teams to deliver performance analysis instruments and optimized libraries and frameworks for AI/ML applications.

Qualifications

  • Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
  • Experience in software development for at least one of the following hardware IPs: AI/ML HW accelerators, GPUs processing units, image/video encoders, or similar.
  • Experience with AI/ML, graphics, or HPC performance benchmarks and workloads.
  • M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
  • 10+ years of relevant experience in software performance optimization, performance analysis tools, performance optimization process and development of efficient computational algorithms.
  • Knowledge of computer architecture fundamentals.
  • Proficiency in some of the C/C++ family programming languages, and scripting languages such as Python.
  • Ability to prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms, analyze performance metrics, and create high-level complexity models, or develop targeted highly efficient low-level performance libraries for AI/ML accelerators or GPUs.
  • Proficiency in popular AI/ML frameworks, such as PyTorch, and relevant software stacks.
  • Knowledge of operating system internals and compiler technologies.
  • Technical aptitude and curiosity, as well as ability to collaborate effectively with team members, partners, and stakeholders.

Skills

Required:Performance analysisAlgorithm benchmarking

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses including tuition
  • Discretionary bonuses or commission payments and relocation (eligible in some cases)
  • Apple shareholder opportunities through stock programs
  • Employee stock purchase plan
  • Other benefits as described in Apple Benefits page
Last updated Oct 9, 2026. Interested? Apply on the company site.

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